Tanni5

SODAS-Net

SODAS-Net: Side-infOrmation-aided Deep Adaptive Shrinkage Network for Compressive Sensing (IEEE TIM 2023)

OCTUF

Optimization-Inspired Cross-Attention Transformer for Compressive Sensing (CVPR 2023)

MR-CCSNet

PyTorch implementation of MR-CCSNet.

DANet

Dual Attention Network for Scene Segmentation (CVPR2019)

FSOINet

MCFD-Net

Multi-Cross Sampling and Frequency-Division Reconstruction for Image Compressed Sensing

TransCS

TransCS: A Transformer-Based Hybrid Architecture for Image Compressed Sensing

NL-CSNet-Pytorch

Pytorch code for paper "Image Compressed Sensing Using Non-local Neural Network" TMM 2021.

CSformer

Pytorch implementation of "CSformer: Bridging Convolution and Transformer for Compressive Sensing"

CASNet

Content-aware Scalable Deep Compressed Sensing (TIP 2022) [PyTorch]

ReconNet-PyTorch

A non-iterative algorithm to reconstruct images from compressively sensed measurements.

DPC-DUN

Dynamic Path-Controllable Deep Unfolding Network for Compressive Sensing (IEEE TIP 2023)

IRCNN

Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) (Matlab)

DPIR

Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)

DPDNN_PyTorch

ISTA-Netpp

ISTA-Net++: Flexible Deep Unfolding Network for Compressive Sensing, ICME2021 [PyTorch Code]

ISTA-Net-PyTorch

ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR2018 (PyTorch Code)

MAC-Net

DPA-Net

COAST

COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing, TIP2021 [PyTorch Code]

sliced_score_matching

Code for reproducing results in the sliced score matching paper (UAI 2019)

ncsn

Noise Conditional Score Networks (NeurIPS 2019, Oral)

f-dre

Featurized Density Ratio Estimation

pyod

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

pykliep

A density ratio estimator package for python using the KLIEP algorithm.

f-dre

Featurized Density Ratio Estimation

Classification-using-KMM-Kernel-Mean-Matching-

Dataset Bias correction (Python)

tre_code

normalizing-flows

PyTorch implementation of normalizing flow models

mdre

Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression